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A ROS-Based Online System for 3D Gaussian Splatting Optimization: Flexible Frontend Integration and Real-Time Refinement
Published 2025-07-01“…However, when its initialization process relies on traditional SfM methods (such as COLMAP), there are obvious bottlenecks, such as high computational resource consumption, as well as the decoupling problem between camera pose optimization and map construction. …”
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523
The Data-Driven Optimization of Parcel Locker Locations in a Transit Co-Modal System with Ride-Pooling Last-Mile Delivery
Published 2025-05-01“…A <i>p</i>-median model is proposed to solve the problem of optimal parcel locker locations and matching between passengers and parcel lockers. …”
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524
A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer’s disease
Published 2025-07-01“…This optimization problem is solved with a projection-based quasi-Newton algorithm. …”
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525
User-Centric Federated Learning: Trading off Wireless Resources for Personalization
Published 2023-01-01Get full text
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526
Discrete Element-Based Design of a High-Speed Rotary Tiller for Saline-Alkali Land and Verification of Optimal Tillage Parameters
Published 2025-01-01“…The average operating speed is higher than that of the ordinary rotary tiller. …”
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527
Ecological network construction and optimization of typical resource-based regions, and strategies for the enhancement of multiple ecosystem services: Balancing function and struct...
Published 2025-01-01“…The construction of ecological networks (ENs) is an effective solution to these problems. However, the application of the classic method of ENs construction in large-scale resource mining areas is not ideal. …”
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528
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Multiobjective Evaluation of Configurations for Hybrid Electric Bus Equipped With Hybrid Energy Storage System Based on Optimal Energy Management Strategy
Published 2025-01-01“…Currently, due to the low efficiency of energy management systems’ multiobjective weighting algorithm and the comparison of different configuration performance under specific component parameters, it is difficult to fully demonstrate the performance potential of configurations. To solve the above problems, multiple allowable component parameter schemes need to be considered. …”
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530
Conceptual design and multi-optimization of small-scale solar water production based on integration of humidification-dehumidification and solar still desalination
Published 2025-07-01“…In remote areas that face a shortage of freshwater and have fuel supply problems, freshwater production using solar desalination is a good option. …”
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531
Identification of Control Parameters Using Taguchi Method for Hybrid Real-Binary Differential Evolution Algorithm and Its Applications in Electromagnetic Optimization
Published 2023-01-01“…The hybrid real-binary differential evolution (HDE) algorithm has been proficient in addressing electromagnetic optimization problems (EOPs) involving both real and binary variables. …”
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532
A green hydrogen production model from solar powered water electrolyze based on deep chaotic Lévy gazelle optimization
Published 2024-12-01“…DeepGaz combines a new Chaotic-Lévy variant of the gazelle optimization algorithm (CGOA) with a recurrent neural network (RNN/LSTM) for hyperparameter optimization. …”
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533
A Unified Multi-Target Clever Eye Algorithm: Analytical Solutions and Application
Published 2025-06-01“…Therefore, a unified framework is provided to deal with such a non-convex optimization problem, where both the solutions of MTCE and CE can be succinctly derived. …”
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534
Adaptive High-Precision 3D Reconstruction of Highly Reflective Mechanical Parts Based on Optimization of Exposure Time and Projection Intensity
Published 2025-05-01“…Image sequence under the obtained optimal intensities is fused using an integration of Genetic Algorithm and Stochastic Adam optimizer to maximize the image information entropy. …”
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535
Multi-Objective Optimization Scheduling for Electric Vehicle Charging and Discharging: Peak-Load Shifting Strategy Based on Monte Carlo Sampling
Published 2025-04-01“…A Monte Carlo sampling method is employed to develop a charging behavior model for EVs to solve the problems raised by random charge mode. The probability densities of daily driving distance, initial charging time, charging power, and charging duration are incorporated and analyzed. …”
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536
A Bi-level Stochastic-Robust Optimal Bidding Model of Wind-Storage System in Spot Markets Considering Internal and External Uncertainties
Published 2025-06-01“…The proposed model is structured as a bi-level optimization problem to reflect the interaction between WSS bidding and day-ahead market clearing. …”
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537
Two-Criteria Technique for the Resource-Saving Computing in the Fog and Edge Network Tiers
Published 2023-07-01“…The aim of this research is to formalize the workload distribution problem as two-criteria optimization problem, and to develop the basic solution technique.Materials and Methods. …”
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538
Smart homes energy management: Optimal multi-objective appliance scheduling model considering electrical energy storage and renewable energy resources
Published 2025-02-01“…An improved Biogeography-based optimization algorithm (IBBO) is used to solve the multi-objective problem. …”
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539
Optimal Thermal Output of an Absorption Heat Pump with Steam Heating Integrated in a PT-60/70-130/13 Steam Turbine
Published 2024-12-01“…AHP was heated by steam from the production selection of the turbine after the steam screw machine installed for energy saving. The general optimization problem with the objective function of total changing the monthly fuel consumption after the integration of AHP, based on the average monthly outdoor air temperature in the heating season in Ukraine, was divided into 6 auxiliary optimization problems. …”
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540
Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network
Published 2024-12-01“…To address the problem of the large number of finite element model meshes and low solution efficiency, the wall thickness uniformity was predicted using a radial basis function (RBF) neural network, and parameter optimization was performed using the particle swarm optimization (PSO) algorithm. …”
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